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Computer science » Modelling tools Agricultural sciences » Forest sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 5 Oct 2025 - 20:00 (Europe
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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familiarity with the desperation threshold model of decision making. Where to apply E-mail daniel.nettle@ens.psl.eu Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications PhD
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms
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comparable to Spain's GHG emissions. This trend is unsustainable and solutions must be found to reduce the environmental impact of the audiovisual ecosystem. Modelling the environmental impact of audiovisual
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project:*The Role of m6A Methylation in Response to Genotoxic Stress and in CancerSupervisor: Guillaume VarèsIn response to ionizing radiation (IR) exposure, cells trigger a variety of complex and
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influence parameters used in seismic modeling according to the Eurocodes. DYNATERRE adopts a multi-scale approach—from raw materials to the global behavior of the building. It is based on collaboration
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supporting a role for a PM-localised receptor complex in dsRNA perception and signalling. In the center of this project stands the observation that the movement protein (MP) of tobacco mosaic virus and the MPs
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/Qualifications • PhD in microbiology, molecular biology, or related field • Strong experience in bacteriology and molecular mechanisms of pathogenesis • Previous experience with insect models and host